Skip to main content

Video motion for every visible point

Publication ,  Journal Article
Ricco, S; Tomasi, C
Published in: Proceedings of the IEEE International Conference on Computer Vision
January 1, 2013

Dense motion of image points over many video frames can provide important information about the world. However, occlusions and drift make it impossible to compute long motion paths by merely concatenating optical flow vectors between consecutive frames. Instead, we solve for entire paths directly, and flag the frames in which each is visible. As in previous work, we anchor each path to a unique pixel which guarantees an even spatial distribution of paths. Unlike earlier methods, we allow paths to be anchored in any frame. By explicitly requiring that at least one visible path passes within a small neighborhood of every pixel, we guarantee complete coverage of all visible points in all frames. We achieve state-of-the-art results on real sequences including both rigid and non-rigid motions with significant occlusions. © 2013 IEEE.

Duke Scholars

Published In

Proceedings of the IEEE International Conference on Computer Vision

DOI

Publication Date

January 1, 2013

Start / End Page

2464 / 2471
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ricco, S., & Tomasi, C. (2013). Video motion for every visible point. Proceedings of the IEEE International Conference on Computer Vision, 2464–2471. https://doi.org/10.1109/ICCV.2013.306
Ricco, S., and C. Tomasi. “Video motion for every visible point.” Proceedings of the IEEE International Conference on Computer Vision, January 1, 2013, 2464–71. https://doi.org/10.1109/ICCV.2013.306.
Ricco S, Tomasi C. Video motion for every visible point. Proceedings of the IEEE International Conference on Computer Vision. 2013 Jan 1;2464–71.
Ricco, S., and C. Tomasi. “Video motion for every visible point.” Proceedings of the IEEE International Conference on Computer Vision, Jan. 2013, pp. 2464–71. Scopus, doi:10.1109/ICCV.2013.306.
Ricco S, Tomasi C. Video motion for every visible point. Proceedings of the IEEE International Conference on Computer Vision. 2013 Jan 1;2464–2471.

Published In

Proceedings of the IEEE International Conference on Computer Vision

DOI

Publication Date

January 1, 2013

Start / End Page

2464 / 2471